Association between short-term exposure to ambient air pollutants and the risk of tuberculosis outpatient visits: A time-series study in Hefei, China

Huang, Kai; Ding, Kan; Yang, Xiao-Jing; Hu, Chengyang; Jiang, Wen Qi; Hua, Xiao-Guo; Liu, Jie; Cao, Jiyu; Zhang, Tao; Kan, Xiao-Hong; Zhang, Xiujun

doi:10.1016/j.envres.2020.109343

Cited by 69 publications

(73 citation statements)

References 44 publications

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“…However, evidence described in the literature confirmed the importance of conducting a study to better understand how air quality and weather can influence the cases of TB. Environmental factors such as air quality index [ 15 ], concentration of carbon monoxide [ 16 ], nitrogen dioxide [ 17 ] and sulphur dioxide [ 18 ], particulate matter [ 19 ] and weather factors such as rainfall [ 20 ], humidity [ 21 ], temperature [ 22 ], wind speed [ 23 ], and atmospheric pressure [ 24 ], can enhance the reproduction and growth of Mycobacterium tuberculosis to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Association of sociodemographic and environmental factors with spatial distribution of tuberculosis cases in Gombak, Selangor, Malaysia

et al. 2021

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Tuberculosis (TB) cases have increased drastically over the last two decades and it remains as one of the deadliest infectious diseases in Malaysia. This cross-sectional study aimed to establish the spatial distribution of TB cases and its association with the sociodemographic and environmental factors in the Gombak district. The sociodemographic data of 3325 TB cases such as age, gender, race, nationality, country of origin, educational level, employment status, health care worker status, income status, residency, and smoking status from 1st January 2013 to 31st December 2017 in Gombak district were collected from the MyTB web and Tuberculosis Information System (TBIS) database at the Gombak District Health Office and Rawang Health Clinic. Environmental data consisting of air pollution such as air quality index (AQI), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2), and particulate matter 10 (PM10,) were obtained from the Department of Environment Malaysia from 1st July 2012 to 31st December 2017; whereas weather data such as rainfall were obtained from the Department of Irrigation and Drainage Malaysia and relative humidity, temperature, wind speed, and atmospheric pressure were obtained from the Malaysia Meteorological Department in the same period. Global Moran’s I, kernel density estimation, Getis-Ord Gi* statistics, and heat maps were applied to identify the spatial pattern of TB cases. Ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to determine the spatial association of sociodemographic and environmental factors with the TB cases. Spatial autocorrelation analysis indicated that the cases was clustered (p<0.05) over the five-year period and year 2016 and 2017 while random pattern (p>0.05) was observed from year 2013 to 2015. Kernel density estimation identified the high-density regions while Getis-Ord Gi* statistics observed hotspot locations, whereby consistently located in the southwestern part of the study area. This could be attributed to the overcrowding of inmates in the Sungai Buloh prison located there. Sociodemographic factors such as gender, nationality, employment status, health care worker status, income status, residency, and smoking status as well as; environmental factors such as AQI (lag 1), CO (lag 2), NO2 (lag 2), SO2 (lag 1), PM10 (lag 5), rainfall (lag 2), relative humidity (lag 4), temperature (lag 2), wind speed (lag 4), and atmospheric pressure (lag 6) were associated with TB cases (p<0.05). The GWR model based on the environmental factors i.e. GWR2 was the best model to determine the spatial distribution of TB cases based on the highest R2 value i.e. 0.98. The maps of estimated local coefficients in GWR models confirmed that the effects of sociodemographic and environmental factors on TB cases spatially varied. This study highlighted the importance of spatial analysis to identify areas with a high TB burden based on its associated factors, which further helps in improving targeted surveillance.

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Section: Introductionmentioning

confidence: 99%

Association of sociodemographic and environmental factors with spatial distribution of tuberculosis cases in Gombak, Selangor, Malaysia

et al. 2021

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“…The possible reason is that with age, the body's immune defenses decline, and the body is more likely to be exposed to pollutants than younger people (Zhang and Ni et al, 2019;Huang and Ding et al, 2020). Interestingly, contrary results were observed for PM2.5 and PM10 in the cold and warm seasons.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, because the numbers of daily reports of TB outpatients were generally considered to be rare events, we used a generalized linear model (GLM) based on the quasi-Poisson distribution to construct a function fitting the exposure-response and effects of lag (Huang and Ding et al, 2020). First, in order to understand the influence of exposure to six air pollutants in the risk of tuberculosis outpatient visits, we used the function of natural cubic spline (7 degrees of freedom per year) to control for long-term trends and seasonal variations (Bhaskaran and Gasparrini et al, 2013;Zhu and Xia et al, 2018).…”

Section: / 31mentioning

confidence: 99%

“…Where 1 and 2 are the point estimates for the two subgroups, and 1 and 2 are the corresponding standard errors, respectively (Huang and Ding et al, 2020).…”

Section: / 31mentioning

confidence: 99%

“…The association between various air pollutants and TB has also been explored in time series studies conducted in multiple Chinese cities (Chengdu, Hefei and Wuhan) (Zhu and Xia et al, 2018;Huang and Ding et al, 2020;Huang and Xiang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Short-term Effect of Ambient Air Pollutants Change on the Risk of Tuberculosis Outpatient Visits: A Time-series Study in Fuyang, China

Wang¹,

Li²,

Hu³

et al. 2021

Preprint

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There is growing evidence that air pollution plays a role in TB, but few studies have comprehensively included the six common air pollutants. Our objectives were to investigate the association between short-term exposure to six common air pollutants and the risk of tuberculosis outpatient visits in Fuyang, China, during the period 2015-2020. We combined the two models to explore the effects of exposure to six air pollutants on the risk of tuberculosis outpatient visits, including Poisson generalized linear regression model and distributed lag non-linear model (DLNM). We performed stratified analyses for season, gender and age. We used the lag-specific relative risks and cumulative relative risk obtained by increasing pollutant concentration by per 10 units to evaluate the connection between six air pollutants and TB, PM2.5 (RR=1.0018, 95%CI: 1.0004-1.0032, delay of 12 days) and (RR=1.0169,95%CI: 1.0007-1.0333, lag 0-16 days), SO2 were 0.9549 (95%CI: 0.9389-0.9712, lag 0 days) and 0.8212 (95%CI: 0.7351-0.9173, 0-20 days lag). Stratified analyses showed that seasonal differences had a greater impact on TB, and male more likely to develop TB than female, older people more likely to develop TB than younger people. Exposure to O3, CO, PM10, PM2.5, and NO2 increases the risk of TB outpatient visits, except SO2 reduces the risk. Male and elderly people should be protected. We need to pay more attention to the impact of seasonal effects on TB.

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The impact of ambient air pollutants on childhood respiratory system disease and the resulting disease burden: a time-series study

Shen,

Li,

Fang

et al. 2023

Int Arch Occup Environ Health

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Association between short-term exposure to ambient air pollutants and the risk of tuberculosis outpatient visits: A time-series study in Hefei, China

Cited by 69 publications

References 44 publications

Association of sociodemographic and environmental factors with spatial distribution of tuberculosis cases in Gombak, Selangor, Malaysia

Association of sociodemographic and environmental factors with spatial distribution of tuberculosis cases in Gombak, Selangor, Malaysia

Short-term Effect of Ambient Air Pollutants Change on the Risk of Tuberculosis Outpatient Visits: A Time-series Study in Fuyang, China

The impact of ambient air pollutants on childhood respiratory system disease and the resulting disease burden: a time-series study

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